ReviewInternational urology and nephrology2016
Clinical imaging of vascular disease in chronic kidney disease.
Review in International urology and nephrology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Prevalence of abdominal artery calcification in dialysis patients with end-stage renal disease: a systematic review and meta-analysis.International urology and nephrology · 2017Pooled it
- Analysis of factors influencing vascular calcification in peritoneal dialysis patients and their impact on long-term prognosis.BMC nephrology · 2024Article
- Early aging and premature vascular aging in chronic kidney disease.Clinical kidney journal · 2023Review
- Hypoxia-inducible factor signaling in vascular calcification in chronic kidney disease patients.Journal of nephrology · 2022Review
- Uremic Vascular Calcification: The Pathogenic Roles and Gastrointestinal Decontamination of Uremic Toxins.Toxins · 2020Review
- Complications of metabolic acidosis and alkalinizing therapy in chronic kidney disease patients: a clinician-directed organ-specific primer.International urology and nephrology · 2020Review
- A journey from microenvironment to macroenvironment: the role of metaflammation and epigenetic changes in cardiorenal disease.Clinical kidney journal · 2019Article
- The role of uric acid in mineral bone disorders in chronic kidney disease.Journal of nephrology · 2019Review
- Abdominal aorta and pelvic artery calcifications on plain radiographs may predict mortality in chronic kidney disease, hemodialysis and renal transplantation.International urology and nephrology · 2018Article
- Renal denervation using carbon dioxide renal angiography in patients with uncontrolled hypertension and moderate to severe chronic kidney disease.Clinical kidney journal · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 5 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Arterial wall calcification, once considered an incidental finding, is now known to be a consistent and strong predictor of cardiovascular events in patients with chronic renal insufficiency. It is also commonly encountered in radiologic examinations as an incidental finding. Forthcoming bench, translational, and clinical data seek to establish this and pre-calcification changes as surrogate imaging biomarkers for noninvasive prognostication and treatment follow-up. Emerging paradigms seek to establish vascular calcification as a surrogate marker of disease. Imaging of pre-calcification and decalcification events may prove more important than imaging of the calcification itself. Data-driven approaches to screening will be necessary to limit radiation exposure and prevent over-utilization of expensive imaging techniques.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.